A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision Diabetes Management—PIPE-AI" (AI Agent), designed specifically for Asian ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside centralized medical facilities. These tests rely on machine learning ...
A recent Nature Medicine study developed and validated OBSCORE, a model that identifies obese or overweight individuals who are most likely to develop related health problems. Obesity represents a ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, a serious sleep disorder ...
Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients with sepsis complicated by acute respiratory failure. Using routinely ...
A machine learning (ML) tool that analyses electronic health record data, test results, and patient demographics can help clinicians identify people at high risk of hepatocellular carcinoma (HCC), the ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
The human brain is complex. Artificial intelligence (AI) machine learning and medical imaging data are accelerating breakthroughs in brain health, especially in medical diagnostics. A peer-reviewed ...
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results